Data Mining Methods for Performing a Plagiarism Check

Abstract

The proliferation and greater usage of computers and the Internet have contributed to the rise of plagiarism in the modern era. Plagiarism is when you take something that doesn't belong to you without permission. Plagiarism detection is a time-consuming process that has to be automated. Several strategies exist for identifying instances of plagiarism. Extrinsic plagiarism is the emphasis of certain researchers, whereas intrinsic plagiarism is the main area of research for others. Data mining in this field may improve efficiency and uncover instances of plagiarism. Several data mining strategies exist for the purpose of identifying instances of plagiarism. Text mining, clustering, bigram, trigram, and n-gram analysis are all useful techniques.